To simulate the immersive experience of being in a mountainous environment, we used the HTC Vive Pro headmounted display (HMD) in conjunction with the HTC wireless Adapter (HTC, New Taipei City, Taiwan) to allow for untethered, free ambulation. The Vive Pro displayed stimuli at a resolution of 1140–1600 pixels per eye, 90 Hz refresh rate, and a 110⁰ field of view, while the Wireless Adapter delivered data over a 60 GHz radio frequency for up to 7m. Participants were allowed to interact with the virtual environment and record their responses using a handheld HTC Vive controller (HTC, New Taipei City, Taiwan). The immersive VR task was run on a custom-build computer with a NVIDIA GeForce Titan Xp graphics card (NVIDIA Corp., Santa Clara, CA, United States.
Geforce titan xp
Manufactured by NVIDIA
Sourced in United States
The GeForce Titan Xp is a high-performance graphics processing unit (GPU) designed for professional and enthusiast users. It features 3,840 CUDA cores, a 12GB GDDR5X memory, and a 384-bit memory interface. The Titan Xp is capable of delivering high-performance graphics processing for a variety of applications, including video editing, 3D rendering, and scientific computing.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using geforce titan xp
1
Immersive Mountain Exploration in VR
2
MRI-Utero Super-Resolution Pipeline
Check if the same lab product or an alternative is used in the 5 most similar protocols
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We implemented the proposed pipeline using the Medical Imaging Interaction Toolkit (MITK)foot_1 , as well as several programming languages like C++, Python and Bash Shell scripting. Experiments were run on an Intel Core i7
3.60GHz, 16GB of RAM with Fedora 27foot_2 , and a NVIDIA GeForce Titan Xp.
However, to calculate the first part of our pipeline (MRI-utero super-resolution)
the SNOW Linux Clusterfoot_3 was utilized.
3.60GHz, 16GB of RAM with Fedora 27foot_2 , and a NVIDIA GeForce Titan Xp.
However, to calculate the first part of our pipeline (MRI-utero super-resolution)
the SNOW Linux Clusterfoot_3 was utilized.
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